WellDataBaseML example: Predicting Well production within Eagle Ford Play

A problem demonstrating how WellDataBaseML can be applied to predict oil/gas production.

The machine-lerning problem described here relates to the clasical history matching problems.

If WellDataBaseML is not installed, first execute import Pkg; Pkg.add("WellDataBaseML"); Pkg.add("WellDataBase").

Firts, the Eagle Ford Play datasets is uploaded:

The loaded data are provided in the follwoing form:

Machine learning (ML) analysis can be performed to predict well production based on this dataset.

Under this example, the goal is to use all the data collected up to 2015 for training.

After that, the applied ML methodology performs blind prediction for 1 year ahead (2015-2016).

ML analyses is excuted as follows: